MacBook Pro (16-inch Late 2019)
Geekbench AI Score
722
Single Precision Score
546
Half Precision Score
349
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | RWR |
| Upload Date | November 07 2024 09:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
181
33.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
288
4.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
694
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
92% |
144
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
838
6.46 IPS |
|
|
Depth Estimation (Q)
|
85% |
493
3.85 IPS |
|
|
Style Transfer (SP)
|
100% |
2601
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
2283
2.93 IPS |
|
|
Style Transfer (Q)
|
96% |
1666
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
269
9.94 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (Q)
|
93% |
262
351.8 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
98% |
397
6.86 IPS |
